Does the CSV need a header row?

Yes. The first row is always treated as column names, and every following row becomes a YAML mapping using those names as keys. If a column header is blank, it's replaced with a generic name like `column_3` based on its position so every value still ends up with a key.

Are values converted to numbers or booleans, or do they stay as text?

They stay as text. CSV has no type system, every cell is just a string, so this converter doesn't guess at whether "3" should become the number 3 or stay the string "3". If you need typed values, adjust them after conversion or in the YAML Editor.

How are quoted fields with embedded commas or newlines handled?

Correctly, per RFC 4180: a field wrapped in double quotes can contain the delimiter, line breaks, and escaped `""` for a literal quote character, and the parser reads all of that as a single field rather than splitting on the delimiter inside it.

What if some rows have missing values?

A missing trailing value becomes an empty string for that key in the resulting mapping. The row still gets a key for every column in the header, so every record in the output has a consistent shape.

CSV to YAML Converter - Convert CSV to YAML Online

Overview

Introduction

A spreadsheet export is easy to scan as a table but awkward to use directly in most YAML-based tooling, fixtures, seed data, config lists. This converter turns CSV with a header row into a YAML sequence of mappings, one per data row, using the header as each mapping's keys.

It's the direct inverse of the YAML to CSV Converter, so round-tripping data through both tools should return you to equivalent structure, modulo the fact that CSV itself has no types, so a round trip through CSV normalizes every value to a string.

What Is CSV to YAML Converter?

A CSV-to-YAML converter reads a delimited table, treats the first row as column headers, and produces a YAML sequence where each subsequent row becomes one mapping keyed by those headers.

It correctly handles RFC 4180 quoting, so fields containing the delimiter, quotes, or embedded newlines are parsed as single values rather than being split incorrectly.

How CSV to YAML Converter Works

A small parser reads the CSV character by character, tracking whether it's inside a quoted field, to correctly split rows and cells even when a field contains the delimiter or a line break.

The first row becomes the set of keys used to build a record object for every subsequent row, and the resulting array of records is serialized as block-style YAML.

When To Use CSV to YAML Converter

Use it when you have a CSV export, from a spreadsheet, a database query, or another tool, and need it as a YAML fixture, seed file, or config list.

It's also useful for quickly reviewing a CSV's structure in a more hierarchical, readable form.

Often used alongside YAML to CSV Converter, TSV to YAML Converter and YAML to JSON Converter.

Features

Advantages

Runs entirely client-side.
Correctly parses RFC 4180-quoted fields, including embedded commas and newlines.
Every record gets a consistent set of keys, even when trailing values are missing.
Works with comma, semicolon, or tab delimiters.

Limitations

All values become YAML strings; there's no automatic conversion to numbers or booleans.
A CSV with no header row will incorrectly treat its first data row as headers.
Extremely large CSV files may be slow to parse, since the whole file is processed in memory.

Examples

Header row becomes mapping keys

Input

id,name,role
1,Ada,admin
2,Grace,editor

Output

- id: "1"
  name: Ada
  role: admin
- id: "2"
  name: Grace
  role: editor

Each data row becomes a mapping using the header row's values as keys. The id values are quoted because they look numeric but are, like everything from CSV, plain strings.

Best Practices & Notes

Best Practices

Add explicit types after conversion if your target system needs numbers or booleans rather than strings.
Confirm the CSV has a genuine header row before converting; a headerless file will misread its first record.
Use the YAML Validator afterward if you plan to hand-edit the result.

Developer Notes

Parsing is done with a small hand-written, quote-aware CSV/TSV tokenizer (tracking an `inQuotes` flag while scanning character by character), not a regex split, since a naive split on the delimiter breaks as soon as a field contains a quoted delimiter or newline. The resulting array of plain objects is passed to the same `stringify()` call the YAML Formatter uses.

CSV to YAML Converter Use Cases

Turning a spreadsheet export into a YAML seed file for a database or test suite
Converting tabular data from a CSV report into a YAML-based config list
Reviewing a wide CSV file's structure in a more readable, hierarchical form

Common Mistakes

Pasting a CSV without a header row and getting the first data row treated as column names instead.
Expecting numeric-looking values to convert to real YAML numbers automatically, when CSV has no types to draw that distinction from.

Tips

If a column header is blank in the source CSV, check the output for a generic `column_N` key in its place.
Pair this with the YAML to CSV Converter to round-trip and confirm a conversion.

CSV to YAML Converter